Abstract: Deep learning has achieved great successes in conventional computer vision tasks. In this paper, we exploit deep learning techniques to address the hyperspectral image classification problem ...

Abstract: Remote sensing image scene classification is an active and challenging task driven by many applications. More recently, with the advances of deep learning models especially convolutional ...

Diabetic Retinopathy 224x224 2019 dataset (fundus images). The dataset is imbalanced: “Moderate” DR has the most samples, while “Mild” and “Proliferative DR” are underrepresented. We use class weights ...

To the best of our knowledge, this is the first list of deep learning papers on medical applications. There are couple of lists for deep learning papers in general, or computer vision, for example ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

MVTec Software has developed a new deep learning feature that enables flexible adaptation to changing production environments.

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Retinal imaging and deep learning (DL) may support scalable screening, but deployment requires evidence on pooled performance. This is important because missed neovascular disease may delay treatment, ...

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...